Video talks on 16S data analysis posted.

URMAP ultra-fast read mapper posted (paper).

~20% of taxonomy annotations in SILVA and Greengenes are wrong (paper).

Taxonomy prediction is <50% accurate for 16S V4 sequences (paper).

97% OTU threshold is wrong for species, should be 99% for full-length 16S, 100% V4 (paper).

NBC calculation of genus-specific conditional probability

As a starting point, the simplest estimate is the frequency observed in the training set = m(w_i)/M, and it would make sense to add pseudo-counts to model unobserved sequences, but I don't understand why they chose specifically to add P_i in the numerator or add 1 in the denominator.

Reference
Wang,Q. et al. (2007) Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. AEM 73, 5261-7.